Data Analysis, Machine Learning and Applications

Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7–9, 2007

  • Christine Preisach
  • Hans Burkhardt
  • Lars Schmidt-Thieme
  • Reinhold Decker

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Classification

    1. Lluís Belanche, Jean Luis Vázquez, Miguel Vázquez
      Pages 3-10
    2. Janis Fehr, Karina Zapién Arreola, Hans Burkhardt
      Pages 11-18
    3. Eugeniusz Gatnar
      Pages 19-27
    4. Bernard Haasdonk, Hans Burkhardt
      Pages 37-44
    5. Kamila Migdał Najman, Krzysztof Najman
      Pages 45-54
    6. Norbert Röhrl, José R. Iglesias-Rozas, Galia Weidl
      Pages 55-60
    7. Julia Schiffner, Claus Weihs
      Pages 69-76
    8. Kester W. Smith, Carola Tiede, Coryn A. L. Bailer-Jones
      Pages 77-83
  3. Clustering

    1. Patrick Erik Bradley
      Pages 95-102
    2. Marco Di Zio, Ugo Guarnera
      Pages 111-118
    3. Benjamin Georgi, M. Anne Spence, Pamela Flodman, Alexander Schliep
      Pages 119-126
    4. Christian Hennig, Pietro Coretto
      Pages 127-138
    5. Lutz Herrmann, Alfred Ultsch
      Pages 139-146
    6. Kurt Hornik, Walter Böhm
      Pages 147-154
    7. Sina Lehrmann, Werner Esswein
      Pages 155-162

About these proceedings


Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.


artificial intelligence bioinformatics business intelligence classification clustering computer science data analysis intelligence learning linguistics machine learning semantic web service-oriented computing web mining

Editors and affiliations

  • Christine Preisach
    • 1
  • Hans Burkhardt
    • 2
  • Lars Schmidt-Thieme
    • 3
  • Reinhold Decker
    • 4
  1. 1.Institute of Computer Science and Institute of Business Economics and Information SystemsUniversity of HildesheimHildesheimGermany
  2. 2.Lehrstuhl für Mustererkennung und BildverarbeitungUniversität FreiburgFreiburg i. BrGermany
  3. 3.Institute of Computer Science and Institute of Business Economics and Information SystemsHildesheimGermany
  4. 4.Fakultät für WirtschaftswissenschaftenLehrstuhl für Betriebswirtschaftslehre, insbes. MarketingBielefeldGermany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-540-78239-1
  • Online ISBN 978-3-540-78246-9
  • Series Print ISSN 1431-8814
  • About this book